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1st Edge is a growing business seeking top performers to join in our mission of developing Artificial Intelligence solutions for our Government customers. We offer technically advanced, challenging work in an…
The Scientific Platform Engineer will modernize and maintain a large-scale scientific software distribution platform for the SBGrid Consortium. The role focuses on building CI/CD pipelines, reproducible packaging, and runtime hardening for Linux and macOS environments used in structural biology and research.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And…
The HPC Systems Administrator will manage and optimize on-premises high-performance computing infrastructure, including compute nodes, workload schedulers, and parallel storage, to support simulation engineering teams. The role involves automating workflows, maintaining system performance and security, and collaborating with vendors in a defense-focused AI environment.
The Senior Forward Deployed Solution Engineer will work directly with customers to design, deploy, and troubleshoot complex infrastructure architectures involving Kubernetes, AI/GPU systems, and cloud-native environments. This hands-on role requires deep technical expertise in automation and systems engineering to ensure successful customer outcomes and production readiness.
The Systems Administrator is responsible for administering, maintaining, and supporting Beehive Industries’ enterprise infrastructure, including Microsoft Azure GCC High environments, Linux systems, databases, and High…
Date Posted: 2026-08-20

 Country: United States of America

 Location: US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805

 Position Role Type: Onsite

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Leads development of machine vision software for research science, focusing on behavior annotation tools on the Envision platform; collaborates with scientists and stakeholders to design, implement, and deploy high-quality bioinformatics applications while mentoring team members and driving technical innovation.
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
Managing twenty-five scheduler cells by hand does not scale, and we are not going to try. NVIDIA is building a config-as-code foundation for its EDA compute farm, and we need an automation engineer to own it end to…
Own and tune NVIDIA's federated IBM Spectrum LSF scheduler environment supporting EDA workloads across millions of cores, requiring deep LSF internals expertise and Linux systems programming.
QA intern on the Spark RAPIDS team responsible for GPU software testing, test automation infrastructure development, and web services for NVIDIA's deep learning frameworks and GPU workloads.
Your Job The GPU- MLOps Engineer will own the Azure platform layer end-to-end — deploying AI/ML models, provisioning and managing GPU compute, securing the environment, and continuously optimizing cost for our…
Build and scale data infrastructure for an AI-driven hedge fund, designing systems that support research and production workflows while collaborating with ML experts and engineers.
Develops and maintains Python-based scientific simulation and data management tools, integrating AI and HPC workflows to support physics-based modeling and research at a national lab.
As a Sr. Global Alliance Director, NVIDIA and AI Clouds at vCluster Labs, you aren't just managing a partner relationship; you are building the alliance that decides how the world's AI factories get built.…
Designs and leads architecture for AMD’s AI datacenter system management, spanning firmware, OS, rack controllers, and orchestration to ensure scalable, secure, and observable AI infrastructure. Focuses on Redfish/DMTF standards, PCIe/CXL/NVMe interconnects, and Kubernetes/Slurm integration.
ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies…
Designs, maintains, and optimizes hybrid on-premise/cloud HPC platforms for scientific/AI workloads, focusing on Linux infrastructure, job scheduling, and automation to ensure high availability and performance.
The DevOps Engineer will design, deploy, and maintain infrastructure for scalable AI inference workloads, focusing on Kubernetes, GPU scheduling, and monitoring. The role involves collaborating with ML engineers to build robust CI/CD pipelines and observability tools for on-premises environments.
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